Model reconstruction for worn blades based on hybrid surface registrations

doi:10.1007/s40436-022-00390-5

Advances in Manufacturing ›› 2022, Vol. 10 ›› Issue (3): 479-494.doi: 10.1007/s40436-022-00390-5

• ARTICLES • 上一篇

Model reconstruction for worn blades based on hybrid surface registrations

Kang Cui¹, Rui-Song Jiang², Lin Jing¹

1. School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, People's Republic of China;
2. School of Aeronautics and Astronautics, Sichuan University, Chengdu 610065, People's Republic of China

收稿日期:2021-08-06 修回日期:2021-10-07 发布日期:2022-09-08
通讯作者: Kang Cui E-mail:cuikang@sxu.edu.cn
基金资助:
The authors acknowledge the financial support from the National Natural Science Foundation of China (Grant No.52005311), the Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi (Grant No.2019L0036), and the Scientific and the National Science and Technology Major Project (Grant No. J2019-VII-0013-0153).

Model reconstruction for worn blades based on hybrid surface registrations

Kang Cui¹, Rui-Song Jiang², Lin Jing¹

1. School of Automation and Software Engineering, Shanxi University, Taiyuan 030006, People's Republic of China;
2. School of Aeronautics and Astronautics, Sichuan University, Chengdu 610065, People's Republic of China

Received:2021-08-06 Revised:2021-10-07 Published:2022-09-08
Supported by:
The authors acknowledge the financial support from the National Natural Science Foundation of China (Grant No.52005311), the Scientific and Technological Innovation Programs of Higher Education Institutions in Shanxi (Grant No.2019L0036), and the Scientific and the National Science and Technology Major Project (Grant No. J2019-VII-0013-0153).

摘要/Abstract

摘要： Model reconstruction is crucial in blade repair because it directly determines the shape precision and finish of a repaired surface. However, owing to insufficient surface data pertaining to defective regions and the unique deformation caused by harsh environments, modeling a worn blade remains difficult. Hence, a model reconstruction method for worn blades is developed in this study. Unlike conventional methods of constructing and interpolating sectional curves, the proposed method focuses on modifying a nominal computer aided design (CAD) model to reconstruct the worn blade. Through weighted rigid registration and constraint-based non-rigid registration, the design surface extracted from the nominal CAD model can be deformed to align with the surface data of the worn blade without a significant loss of its initial shape. Verification results show that the deformed design surface exhibits sufficient smoothness and accuracy for guiding tool path generation in the subsequent blade repair.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-022-00390-5

关键词: Turbine blades, Repair, Model reconstruction, Registration

Abstract: Model reconstruction is crucial in blade repair because it directly determines the shape precision and finish of a repaired surface. However, owing to insufficient surface data pertaining to defective regions and the unique deformation caused by harsh environments, modeling a worn blade remains difficult. Hence, a model reconstruction method for worn blades is developed in this study. Unlike conventional methods of constructing and interpolating sectional curves, the proposed method focuses on modifying a nominal computer aided design (CAD) model to reconstruct the worn blade. Through weighted rigid registration and constraint-based non-rigid registration, the design surface extracted from the nominal CAD model can be deformed to align with the surface data of the worn blade without a significant loss of its initial shape. Verification results show that the deformed design surface exhibits sufficient smoothness and accuracy for guiding tool path generation in the subsequent blade repair.

The full text can be downloaded at https://link.springer.com/article/10.1007/s40436-022-00390-5

Key words: Turbine blades, Repair, Model reconstruction, Registration

Kang Cui, Rui-Song Jiang, Lin Jing. Model reconstruction for worn blades based on hybrid surface registrations[J]. Advances in Manufacturing, 2022, 10(3): 479-494.

参考文献

1. Kaierle S, Overmeyer L, Alfred I et al (2017) Single-crystal turbine blade tip repair by laser cladding and remelting. CIRP J Manuf Sci Technol 19:196-199
2. Rottwinkel B, Nolke C, Kaierle S et al (2017) Laser cladding for crack repair of CMSX-4 single-crystalline turbine parts. Lasers Manuf Mater Process 4(1):13-23
3. Qi H, Azer M, Singh P (2009) Adaptive tool path deposition method for laser net shape manufacturing and repair of turbine compressor airfoils. Int J Adv Manuf Technol 48(1):121-131
4. Nicolaus M, Rottwinkel B, Alfred I et al (2018) Future regeneration processes for high-pressure turbine blades. CEAS Aeronaut J 9(1):85-92
5. Praniewicz M, Kurfess T, Saldana C (2018) Adaptive geometry transformation and repair for hybrid manufacturing. Procedia Manuf 26:228-236
6. Zheng JM, Li ZG, Chen X (2006) Worn area modeling for automating the repair of turbine blades. Int J Adv Manuf Technol 29(9/10):1062-1067
7. Penaranda X, Moralejo S, Lamikiz A et al (2017) An adaptive laser cladding methodology for blade tip repair. Int J Adv Manuf Technol 92:4337-4343
8. Liu WD, Ao SS, Li Y et al (2016) Elimination of the over cut from a repaired turbine blade tip post-machined by electrochemical machining. J Mater Process Technol 231:27-37
9. Gao J, Chen X, Zheng DT et al (2006) Adaptive restoration of complex geometry parts through reverse engineering application. Adv Eng Softw 37(9):592-600
10. Gao J, Chen X, Yilmaz O et al (2008) An integrated adaptive repair solution for complex aerospace components through geometry reconstruction. Int J Adv Manuf Technol 36(11/12):1170-1179
11. Yilmaz O, Gindy N, Gao J (2010) A repair and overhaul methodology for aero engine components. Robot ComputerIntegr Manuf 26(2):190-201
12. Bagci E (2009) Reverse engineering applications for recovery of broken or worn parts and re-manufacturing:three case studies. Adv Eng Softw 40(6):407-418
13. Xiao GJ, Huang Y (2019) Surface reconstruction of laser-cladding remanufacturing blade using in adaptive belt grinding. Int J Adv Manuf Technol 101:3199-3211
14. Wang T, Ding HP, Wang H et al (2015) Virtual remanufacturing:cross-section curve reconstruction for repairing a tip-defective blade. Proc Inst Mech Eng C J Mech Eng Sci 229(17):3141-3152
15. Yu HY, Lyu XG (2018) Repair of defective 3D blade model based on deformation of adjacent non-defective cross-sectional curve. Int J Adv Manuf Technol 95(5):3045-3055
16. Piya C, Wilson JM, Murugappan S et al (2011) Virtual repair:geometric reconstruction for remanufacturing gas turbine blades. In:ASME international design engineering technical conferences and computers and information in engineering conference, 28-31 August, Washinton DC, USA
17. Wilson JM, Piya C, Shin YC et al (2014) Remanufacturing of turbine blades by laser direct deposition with its energy and environmental impact analysis. J Clean Prod 80:170-178
18. Gao J, Wen H, Lin ZY et al (2017) Geometric model reconstruction through a surface extension algorithm for remanufacturing of twist blades. Rapid Prototyp J 23(2):382-390
19. Zhang Y, Chen ZT, Ning T (2015) Reverse modeling strategy of aero-engine blade based on design intent. Int J Adv Manuf Technol 81(9):1781-1796
20. Huang H, Gong ZM, Chen XO et al (2003) Smart robotic system for 3D profile turbine vane airfoil repair. Int J Adv Manuf Technol 21(4):275-283
21. Wang T, Liu YL, Wang LW et al (2012) Digitally reverse modeling for the repair of blades in aero-engines. Appl Mech Mater 141:258-263
22. Wang H, Cai ZJ, Wang LW (2012) 3D model reconstruction of the broken aeroengine blade based on multi-scale genetic algorithm. Adv Mater Res 479:2250-2254
23. Zhang XC, Li W, Liou F (2018) Damage detection and reconstruction algorithm in repairing compressor blade by direct metal deposition. Int J Adv Manuf Technol 95(5):2393-2404
24. Zhang XC, Li W, Cui WY et al (2018) Modeling of worn surface geometry for engine blade repair using laser-aided direct metal deposition process. Manuf Lett 15:1-4
25. Zhu ZQ, Zhang Y, Chen ZT (2020) A repair strategy based on tool path modification for damaged turbine blade. Int J Adv Manuf Technol 106(7):2995-3006
26. Wu BH, Zheng H, Wang J et al (2020) Geometric model reconstruction and CNC machining for damaged blade repair. Int J Comput Integr Manuf 33(10):287-301
27. Li YQ, Ni J (2009) Constraints based nonrigid registration for 2D blade profile reconstruction in reverse engineering. J Comput Inf Sci Eng 9(3):296-297
28. Zhao ZC, Xu JH, Fu YC et al (2018) An investigation on adaptively machining the leading and tailing edges of an SPF/DB titanium hollow blade using free-form deformation. Chin J Aeronaut 31(1):178-186
29. Su C, Jiang X, Huo GY (2020) Accurate model construction of deformed aero-engine blades for remanufacturing. Int J Adv Manuf Technol 106:3239-3251
30. Rong Y, Xu JT, Sun YW (2014) A surface reconstruction strategy based on deformable template for repairing damaged turbine blades. Proc Instit Mech Eng Part G J Aerospace Eng 228(12):2358-2370
31. Cui K, Wang WH, Jiang RS et al (2018) Model reconstruction in adaptive machining for near-net-shape rolling compressor blades. Int J Comput Integr Manuf 31(2):138-151
32. Hou FR, Wan N, Chang ZY et al (2018) An adaptive repair surface modeling approach for worn blades. Int J Adv Manuf Technol 94:523-532
33. Yan CY, Wan WQ, Huang KT et al (2020) A reconstruction strategy based on CSC registration for turbine blades repairing. Robot Computer-Integr Manuf 61:101835. https://doi.org/10.1016/j.rcim.2019.101835
34. Feng YZ, Ren JX, Liang YS (2018) Prediction and reconstruction of edge shape in adaptive machining of precision forged blade. Int J Adv Manuf Technol 96(5/8):2355-2366
35. Yu HY, Lyu XP, Liu P (2018) Stream surface reconstruction of aero engine blade based on limited measured points. Adv Eng Softw 131:90-101
36. Besl P, McKay N (1992) A method of registration of 3D shapes. IEEE Transaction Pattern Anal Mach Intell 14(2):239-256
37. Wang CG (2014) Integrated aerodynamic design and analysis of turbine blades. Adv Eng Softw 68:9-18
38. Arun KS, Huang TS, Blostein SD (1987) Least-squares fitting of two 3-D point sets. IEEE Trans Pattern Anal Mach Intell 5:698-700
39. Sederberg TW, Parry SR (1986) Free-form deformation of solid geometric models. ACM Siggraph Computer Graph 20(4):151-160
40. Li L, Jiao JK, Sun SY et al (2019) Aerodynamic shape optimization of a single turbine stage based on parameterized freeform deformation with mapping design parameters. Energy 169:444-445
41. Celniker G, Gossard D (1991) Deformable curve and surface finite-elements for free-form shape design. Computer Graph 25(4):257-266

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Model reconstruction for worn blades based on hybrid surface registrations

Model reconstruction for worn blades based on hybrid surface registrations

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